Malcolm Slaney

Malcolm Slaney

Malcolm Slaney received his Ph.D in Electrical Engineering from Purdue University. His work uses signal processing, machine learning and big data ideas to understand human perception, auditory neurophysiology and audiovisual processing.

Dr. Slaney led the team that built the first real-time auditory attention decoder using EEG signals. He led the team that built Video Rewrite, the first system to use a data-driven approach to synthesize talking face, and was cited by ACM SIGGRAPH in 2023 as a seminal work in computer graphics. His thesis work on diffraction tomography using microwave and ultrasound energy was cited by the Chinese team examining the sub-surface characteristics on the far side of the moon. He is a coauthor, with A. C. Kak, of the IEEE book “Principles of Computerized Tomographic Imaging.” This book was republished by SIAM in their “Classics in Applied Mathematics'' Series. He is coeditor, with Steven Greenberg, of the book “Computational Models of Auditory Function.”

He has served as an Associate Editor of IEEE Transactions on Audio, Speech and Signal Processing and IEEE Multimedia Magazine. He has given successful tutorials at ICASSP 1996 and 2009 on “Applications of Psychoacoustics to Signal Processing,” on “Multimedia Information Retrieval” at SIGIR and ICASSP, “Web-Scale Multimedia Data” at ACM Multimedia 2010, and "Sketching Tools for Big Data Signal Processing” at ICASSP 2019.

Dr. Slaney has worked at Google Research, Microsoft Research, Yahoo! Research, IBM’s Almaden Research Center, Interval Research, Apple Computer, Schlumberger’s Palo Alto Research Center, and Bell Laboratories.

In addition to his role at ICSI, he is an Adjunct Professor at Stanford CCRMA, where he has led the Hearing Seminar for more than 20 years. Dr. Slaney is also an Affiliate Faculty in the Electrical Engineering Department at the University of Washington. For many years, he has led the auditory group at the Telluride Neuromorphic Cognition Engineering Workshop.

Dr. Slaney’s recent work is on understanding attention and modeling audio perception. He is a Senior Member of the ACM and a Fellow of the IEEE.

The southern Arizona moth Clepsis anderslaneyii is named after Malcolm and his wife Sara Anderson.